Selected Publications
Open-World Dynamic Prompt and Continual Visual Representation Learning
Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer (AWS AI internship work)
2024 European Conference on Computer Vision (ECCV)
One-stage Prompt-based Continual Learning [PDF]
Youngeun Kim, Yuhang Li, Priyadarshini Panda
2024 European Conference on Computer Vision (ECCV)
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data [PDF]
Yuhang Li, Youngeun Kim, Donghyun Lee, Souvik Kundu, Priyadarshini Panda
2024 European Conference on Computer Vision (ECCV)
SEENN: Towards Temporal Spiking Early-Exit Neural Networks [PDF]
Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda
2023 Conference on Neural Information Processing Systems (NeurIPS)
Exploring Temporal Information Dynamics in Spiking Neural Networks [PDF]
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
2023 AAAI Conference on Artificial Intelligence (AAAI)
Lottery Ticket Hypothesis for Spiking Neural Networks [PDF]
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
Oral presentation, European Conference on Computer Vision (ECCV) 2022
Neural Architecture Search for Spiking Neural Networks [PDF]
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
European Conference on Computer Vision (ECCV) 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks [PDF]
Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
European Conference on Computer Vision (ECCV) 2022
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars [PDF]
Abhiroop Bhattacharjee*, Youngeun Kim*, Abhishek Moitra, Priyadarshini Panda (* equal contribution)
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2022
PrivateSNN: Privacy-Preserving Spiking Neural Networks [PDF]
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
AAAI 2022
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? [PDF]
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks From Scratch [PDF]
Youngeun Kim, Priyadarshini Panda
Frontier in Neuroscience, 2021
Federated Learning With Spiking Neural Networks [PDF]
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
IEEE Transactions on Signal Processing (TSP), 2021
Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing [PDF]
Youngeun Kim, Priyadarshini Panda
Elsevier - Neural Networks, 2021
Visual explanations from spiking neural networks using inter-spike intervals [PDF]
Youngeun Kim, Priyadarshini Panda
Nature Scientific Report, 2021
NEAT: Non-linearity Aware Training for Accurate, Energy-Efficient and Robust Implementation of Neural Networks on 1T-1R Crossbars [PDF]
Abhiroop Bhattacharjee*, Lakshya Bhatnagar*, Youngeun Kim*, Priyadarshini Panda (* equal contribution)
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021
Gradient-based bit encoding optimization for noise-robust binary memristive crossbar [PDF]
Youngeun Kim, Youngeun Kim, Hyunsoo Kim, Seijoon Kim, Sang Joon Kim, Priyadarshini Panda
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022
Domain Adaptation without Source Data [PDF]
Youngeun Kim, Sungeun Hong
IEEE Transactions on Artificial Intelligence (TAI), 2021
Adaptive Graph Adversarial Networks for Partial Domain Adaptation [PDF]
Youngeun Kim, Sungeun Hong
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021
Hi-CMD: Hierarchical cross-modality disentanglement for visible-infrared person re-identification [PDF]
Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim
IEEE/CVF conference on Computer Vision and Pattern Recognition (CVPR), 2020